Opinion: The Scientific and Community-Building Roles of the Geoengineering Model Intercomparison Project (GeoMIP) - Past, Present, and Future
- 1Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, USA
- 2Department of Earth and Atmospheric Science, Indiana University, Bloomington, IN, USA
- 3Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA
- 4Department of Environmental Sciences, Rutgers University, New Brunswick, NJ, USA
- 5National Center for Atmospheric Research, Boulder, CO, USA
- 6Met Office Hadley Centre, Exeter, UK
- 7College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK
- 8Institut Pierre-Simon Laplace, Sorbonne Université/CNRS, Paris, France
- 9Institute for Advanced Sustainability Studies (IASS), Berliner Str. 130, 14467 Potsdam, Germany
- 10Earth Sciences, University College London, UK
- 11Max Planck Institute for Meteorology, Hamburg, Germany
- 12Institute for Atmospheric and Climate Science, ETH Zürich, Zürich, Switzerland
- 13Climate System Analysis Group, University of Cape Town, South Africa
- 14Japan Agency for Marine-Earth Science and Technology, Japan
- 15College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
- 16CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, China
- 17Arctic Centre, University of Lapland, Rovaniemi, 96101, Finland
- 18Industrial Ecology Programme, Department of Energy and Process Engineering, Norwegian University of Science and Technology, Trondheim, Norway
- 1Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY, USA
- 2Department of Earth and Atmospheric Science, Indiana University, Bloomington, IN, USA
- 3Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, USA
- 4Department of Environmental Sciences, Rutgers University, New Brunswick, NJ, USA
- 5National Center for Atmospheric Research, Boulder, CO, USA
- 6Met Office Hadley Centre, Exeter, UK
- 7College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK
- 8Institut Pierre-Simon Laplace, Sorbonne Université/CNRS, Paris, France
- 9Institute for Advanced Sustainability Studies (IASS), Berliner Str. 130, 14467 Potsdam, Germany
- 10Earth Sciences, University College London, UK
- 11Max Planck Institute for Meteorology, Hamburg, Germany
- 12Institute for Atmospheric and Climate Science, ETH Zürich, Zürich, Switzerland
- 13Climate System Analysis Group, University of Cape Town, South Africa
- 14Japan Agency for Marine-Earth Science and Technology, Japan
- 15College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
- 16CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing, China
- 17Arctic Centre, University of Lapland, Rovaniemi, 96101, Finland
- 18Industrial Ecology Programme, Department of Energy and Process Engineering, Norwegian University of Science and Technology, Trondheim, Norway
Abstract. The Geoengineering Model Intercomparison Project (GeoMIP) is a coordinating framework, started in 2010, that includes a series of standardized climate model experiments aimed at understanding the physical processes and projected impacts of solar geoengineering. Numerous experiments have been conducted, and numerous more have been proposed as "testbed'' experiments, spanning a variety of geoengineering techniques aimed at modifying the planetary radiation budget: stratospheric aerosol injection, marine cloud brightening, surface albedo modification, cirrus cloud thinning and sunshade mirrors. To date, more than one hundred studies have been published that used results from GeoMIP simulations. Here we provide a critical assessment of GeoMIP and its experiments.
We discuss its successes and missed opportunities, for instance in terms of which experiments elicited more interest from the scientific community and which didn't, and the potential reasons why that happened. We also discuss the knowledge that GeoMIP has contributed to the field of geoengineering research and climate science as a whole: what have we learned in terms of inter-model differences, robustness of the projected outcomes for specific geoengineering methods and future areas of models' development that would be necessary in the future. We also offer multiple examples of cases where GeoMIP experiments were fundamental for international assessments of climate change.
Finally, we provide a series of recommendations, regarding both future experiments and more general activities, with the goal of continuously deepening our understanding of the effects of potential geoengineering approaches, as well as reducing uncertainties in climate outcomes, important for assessing wider impacts on societies and ecosystems. In doing so, we refine the purpose of GeoMIP and outline a series of criteria whereby GeoMIP can best serve its participants, stakeholders, and the broader science community.
Daniele Visioni et al.
Status: final response (author comments only)
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RC1: 'Comment on acp-2022-766', K. Caldeira, 13 Dec 2022
The GeoMIP project has produce a lot of useful results so it is good to take a step back and think about lessons learned.
The review of past experiments and pointers to some of the resulting papers is very useful and interesting.
Major notes:
This paper would be substantially improved with the addition of a section titled something like “Lessons learned”. If you were to start this project over again knowing what you know now, what would you have done differently? [Since there might be multiple perspectives on what should have been done differently, this might be an opportunity to share several perspectives. In this reviewers perspective, this lessons learned section would be the most important section of this paper.
Similarly, it might be good to pull together what I would see as a section on cross cutting issues. The two issues that I see as being raised at several points are:
- To what extent should simulations attempt to be “realistic” and to what extent should the simulations be highly stylized aimed at facilitating more straightforward analysis?
- Where should the balance be between simulations that may in some sense be “better”, but be difficult for modeling groups to perform, versus simulations that might not be as useful, but might be easier for modeling centers to perform?
There are probably similar cross-cutting questions that you might want to address, for example: When is it enough to have a small number of groups do a simulation and when do you really need a large number of groups to do a simulation? How do you draw a balance between then number of simulations that people need to perform versus the number of ensemble members for each simulation? How to think about the GEOMIP demands on people’s time versus everything else they need to be doing?
I would not expect to see resolution on all of these questions, but maybe a couple of sentences showing the thinking on all of these questions might be useful.
Some of this material is already in Section 5.2 and the Conclusions section. Nevertheless, I think adding a “Lessons learned” section would be highly useful, and a “Cross-cutting issues” might be a place to focus discussion on some of the questions raised in Section 5.2 and the Conclusions.
The reviewers can accept or reject my “cross-cutting issues” suggestion but I hope would adopt my “Lessons Learned” proposal would be adopted.
Minor notes:
[line] comment
[24] Eliminate word “these” (stylistic)
[43-45] Provide citation for IS92a claim.
[67] Properly capitalize of project name.
Table 1. Maybe make another column for the background scenario.
Figure 1. It might be helpful in this figure or in an additional figure to make it clear which CMIP scenario is the reference “ungeoengineered” case relating to each geoengineering case. At the very least this could be in the figure caption.
Figure 2: Expand figure caption to explain all labeled points in the figure. For what years are this? Is it really the standard deviation so low, or are these perhaps standard errors? If the values for G6Solar, G6sulfur, are compared against SSP2-4.5 values, might it be a good idea to show the SSP2-4.5 value on the figure? Do something to let people know which geoengineering case is related to which case without geoengineering.
[104-105] Please mention whether the reduction was the same in each model or different to achieve a temperature balance.
[124] Please mention whether the reduction was the same in each model or different to achieve a temperature balance.
[221-226] Some discussion of the use of SSP2-4.5 as a reference state rather than SSP5-8.5 would be appreciated. Was the choice to be more “realistic” worth having a higher signal-to-noise ratio? From the discussion on these lines, it seems researchers wanted to be more “realistic”, but maybe it is better to hit models with a hammer to see how they behave with more extreme forcing.
[228-229] This discussion of “future proofing” might be expanded and discussed later along with the above questions. Is the goal to be “realistic” or to understand how models behave? How are these competing goals best balanced?
[Section 3 and 4] For each of these subsections, it might be good to start each section with the main scientific question that each project is intended to address. (For example, line 509 mentions a question in a section that has no questions in it.)
[619] Something akin to this boldfaced question should appear in each of the subsections of Sections 3 and 4. (Maybe not a bad idea to do this for Section 2 also.)
[777-788] These kinds of questions about tradeoffs in design should get more prominence.
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RC2: 'Comment on acp-2022-766', Anonymous Referee #2, 21 Jan 2023
Overview:
This manuscript covers GeoMIP past and present. This includes discussion of successful and non-successful experiments and addresses what has been learned from GeoMIP. It finally addresses recommendations on how GeoMIP should progress in the future. It is categorized as an opinion piece. However, it's more of a review than an opinion piece. The title notes scientific and community-building roles of the project, but the paper is really just a review of past GeoMIP experiments, suggestions for future experiments, and doesn't really describe how there has been community building. The paper is also long and a big disjointed and rambles at times. I'd suggest deleting section 5.1 to shorten things a bit as well.
Comments delineated by section
Section 2 starts off talking about different Tiers. Why are some high priority and others lower priority? Describe for the reader not familiar with MIPs what the difference is between Tier 1, 2 and 3 (or however many there are).
and 2.1-2.8 all sound like they are "past" experiments...you should be clear about what you mean by "present" or delete it from the section title.
Section 2.8 belongs more in a summary than in the middle of the paper.
Section 3 says it is current proposed testbed experiments....are they current or proposed? Some of the text seems to indicate they are proposed, but in other cases it sounds like they experiments have already occurred. How about making the section title just Testbed experiments and GeoMIP adjacent experiments (although I'm not sure what "GeoMIP adjacent" actually means.
Section 4 is titled "Future experiments" But it seems that section 3 was talking about proposed experiments (which seem like they'd be in the future). It seems this section is really talking about potential experiments to look at processes, or maybe it's better to call them Future testbed experiments.
Section 4.7....this should be a different topic (not under Future experiments). And, perhaps, it belongs more as a subset of section 5 or in the Conclusions.
A few more substantive scientific comments:
line 348 says" possibly also highlighting the need for more detailed aerosol microphysics in modal models. " Does it perhaps suggest use of microphysical models that aren't model...perhaps sectional models as well?
paragraph line 534-538: seems like there should be some mention that running a CTM or nudging (or replaying) to a common transport does not allow simulation of any transport changes that are caused by the aerosol heating, or any strat-trop interactions that may occur, so then is not fully simulating surface climate or strat ozone impacts.
Line 574 -576 says " Simulations in MCB can, to some degree, be separated into two categories. First, can clouds be brightened, and if so, by how much and under what conditions? Second, assuming clouds can be brightened, what are the climate effects of brightening clouds in specific areas? " The simulations are not separated into 2 categories, but the questions regarding MCB are separated into 2 categories.
There also needs to be some more thought as to whether GCM comparison runs are really useful for assessing the viability of MCB. They don't resolve the key processes, so it all boils down to parameterizations. I am not sure you can say (as in line 593/594) that any of these simulations will "directly inform deployment decisions". I actually suggest reading https://www.pnas.org/doi/full/10.1073/pnas.2118379119
line 530: you may also want to consider this paper (https://gmd.copernicus.org/articles/13/717/2020/) in regards to potential issues with specified dynamics runs.
Line 652: says " With the urgency of climate change increasing impacts on societies and ecosystems, there is a great need to continue and accelerate geoengineering research (of Sciences Engineering and Medicine, 2021), and a large merit in its scientific exploration through the use of coordinated multi-model experiments". I would suggest also noting that there is need for model verification using observations, and in particular identifying the key processes that models need to represent for various climate intervention techniques. Therefore, included within GeoMIP could be a coordinated model/measurement intercomparison. You don't just need to highlight outliers, but need to assess accuracy.
Editorial type comments/suggestions/questions:
line 22: This sentence "The comparison of results from nominally identical experiments in multiple, distinct climate models can be a very useful tool for understanding models’ biases, robustness in the climate response to external forcings, and for partitioning sources of uncertainties in future climate projections Lehner et al. (2020)."
"comparison of results" is not a tool. Suggest a rewrite to "The comparison of results from nominally identical experiments in multiple, distinct climate models is useful for understanding models’ biases, for assessing robustness in the climate response to external forcings, and for partitioning sources of uncertainties in future climate projections (Lehner et al., 2020)."
general editing comment: in many cases the references within the text are not properly formatted. For example, in the sentence noted above, Lehner et al. (2020) should be written as (Lerhner et al., 2020)
Line 32: why do you call these " satellite MIPs"?
Line 29-38 could be deleted. It doesn't add to this paper at all.
Line 44: change "have, so far, been largely insufficient," to "have been insufficent"
line 51: Recognizing what facts? Suggest a rewrite to "Because the goal of 1.5 or 2 degrees warming seems unobtainable, around 10 years ago, an international group of researchers (Kravitz et al., 2011) proposed a new framework to coordinate climate modeling experiments to study proposals for solar geoengineering (also known as Solar Radiation Modification or Climate Intervention), aimed at understanding the impacts of proposed methods to offset the warming produced by an increase in greenhouse gases by directly intervening in the Earth’s radiative balance."
line 55: change "targeting" to "increasing"
line 56/57: delete " (for a comprehensive review of the scientific aspects raised by geoengineering techniques, see for instance"
line 73, since CCT is a common abbreviation, change cirrus thinning to cirrus cloud thinning
line 137: I'd suggest you emphasize simulating in a multi-global model context has proven challenging (since there higher resolution models do a better job on MCB processes).
line 140: You might also mention that one of the reasons that this is difficult (or nigh on impossible) in a global model is that the key microphysical processes can only be parameterized in a global model.
line 261 change " cirrus clouds and rather poorly" to " cirrus clouds are rather poorly"
line 301, use some other term besides "satellite MIP" which is somewhat confusing because that term does not appear on the CMIP web page (nor in any google search). CMIP refers to them as CMIP6-Endorsed MIPs. you could change to "endorsed MIP approach" to match the CMIP terminology.
line 323/324 says " This process could be aided if the World Climate Research Programme (WCRP) took a more active CMIP coordination role." What exactly do you suggest WCRP do?
paragrapn from line 313 to 327: Give some actual suggestions of co-designed experiments. Rather than starting with "We think there are ...." start with "Possible coordination experiments with other MIPS include..."
line 336/337 says " we also know that using SO2 injection results in large aerosols" How do you know this? Is this a model or measurement result?
line 373 says " support the new phase of CCMI (CCMI-2022) meant to inform upcoming WMO reports. " You might as well say to inform the 2026 WMO/UNEP Scientific Assessments of Ozone Depletion.
610-613 " The scope for impact studies might be expanded in future to e.g. saline intrusion into ecosystems, fisheries, pests and diseases, human health, heat stress and interactions with tropospheric pollutants. " don't say "to e.g." just delete the e. g.
line 887: SPARC is not an activity, it is a WCRP core project, and you might want to also consider collaborations with the ESMO core project (Earth System Modelling and Observations)
Daniele Visioni et al.
Daniele Visioni et al.
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